From Prototype to Product | #ATLTechWeek
AI agents are rapidly evolving from experimental demos into production systems that execute tasks, coordinate workflows, and collaborate with humans.
Yet many teams, across product, engineering, UX, and executive roles, struggle to move beyond prototypes due to unclear autonomy boundaries, trust issues, and operational risk.
In this session, attendees will learn how to intentionally design AI agents as part of real products, not side experiments.
We’ll cover how to:
Identify high-impact problems where AI agents deliver real value.
Define appropriate levels of autonomy for users and workflows
Embed guardrails and operational patterns to ensure reliability and trust.
Integrate strategy, UX, and technical design to accelerate adoption.
By the end of this session, attendees will walk away with a clear framework to evaluate potential AI agent opportunities, define autonomy and trust boundaries, implement guardrails, and deploy actionable agent-based features in their own products and workflows, with concrete patterns and examples they can immediately apply.